Case studies

The existing results stay as they are, without sector, year or method, as agreed. What has to change is the framing: they are currently written as media results, and the site no longer sells media. Each one is re-titled around the data and the model.

Higher conversion from existing customer data

Challenge

Declining return on paid media across channels. We unified and modeled the client’s first-party data to build propensity-based audiences and suppression lists.

Results

+42% conversion rate, −30% cost per acquisition, +65% return on ad spend within three months.

Reaching decision-makers through modeled audiences

Challenge

Low brand awareness and slow user acquisition. We built lookalike and propensity models from the client’s own customer base to define who was worth reaching.

Results

+85% brand lift, 3× signups from targeted decision-makers, −55% cost per lead.

Restarting growth with predictive prioritization

Challenge

Plateaued growth and spend scattered across unmeasured channels. We modeled customer value and purchase timing, and prioritized accordingly.

Results

+300% monthly revenue, +120% new user acquisition, with a repeatable model.